How to load your data from SAS to Vertica

Pipes allows you to automatically replicate your SAS data into Vertica on your defined schedule.
Load all your data from SAS to Vertica to instantly get access to your SAS data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your SAS data into Vertica. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​
1

Connect to Vertica

This will be the destination of all data pipelines you build. Besides Vertica, Pipes supports the most used relational databases in the cloud and on-premises.
2

Connect to SAS

Just enter your credentials to allow Pipes access to the SAS API. Then Pipes is able to retrieve your data from SAS.
3

Create a data pipeline from SAS to Vertica

Pipes lets you select the data from SAS you want to have in Amazon Redshift. This pipeline will run automatically on your defined schedule!

About SAS

SAS provides a business analytics suite which help clients to gain insights from their data. The SAS software includes a basic SAS component that performs analytical functions and several other modules that add graphics, spreadsheets or other features.

About Vertica

Vertica Advanced Analytics enables organizations to analyze and manage massive volumes of semi-structured and structured data reliably and quickly. The Vertica Analytics Platform was designed to manage fast-growing volumes of data, and provide fast query performance when used for query-intensive applications and data warehouses.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.